This analysis was then generalized to test for tuning preferences to all movement directions in formant space (rather than just along the F1 and F2 axes).
Somewhat analogous conclusions were drawn in a previous study which showed that 'detect probabilities' depend on tuning preferences in a change-detection task, which may also be compatible with the notion of selective decoding (Bosking and Maunsell, 2011).
However, the exact topology of clustering of calls with similar tuning preferences in BA10/PC is, to date, unknown, and thus might turn out to be less suitable for fMRI decoding than in motor cortex ([5], pp. 16 17).
Reviewer #2: As the authors acknowledge, the idea that all MSTd neurons are decoded according to their vestibular tuning preferences is a bit counterintuitive.
The described mechanism critically depends on the insight that maximal information about a stimulus is conveyed by neurons with tuning preferences offset from the stimulus value (Regan and Beverley 1985; Hol and Treue 2001).
The neural representation for spatial frequency or orientation in early visual cortex relies on subpopulations of neurons with specific tuning preferences (for a review, see, e.g., De Valois & De Valois, 1988).
Based on the extensive experimental data and their MD simulations on this structural model, they proposed that electrostatic competition between the alkali cations and the residue pair of Glu and Lys (E and K in the DEKA motif) finely tuned the preference of ion binding at SHFS towards Na+ ions in eukaryotic Nav channels (Lipkind and Fozzard, 2008).
By maintaining a live goal model to represent runtime requirements and linking the overall satisfaction of quality requirements to an indicator of earned business value, we propose a control-theoretic self-tuning method that can dynamically tune the preferences of different quality requirements, and can autonomously make tradeoff decisions through our Preference-Based Goal Reasoning procedure.
And in addition to the observed increase in tuning width, azimuth preference itself appeared to be modulated by sound level as well.
With the increasing understanding of the problem as the optimization proceeds, DMs are able to fine tune their preferences according to the obtained solutions in each iteration.
